Drimva

Amazon

Sr. Delivery Consultant – AI ML, Professional Services, AWSI HCLS

$154K–$229K

Jersey City, NJ +6 · Senior · Full-time · Posted Jul 21, 2026

Location
Jersey City, NJ
Austin, TX
Arlington, VA
Atlanta, GA
New York, NY
Chicago, IL
Dallas, TX
Experience
5+ years of experience in enterprise technology architecture delivery; alternatively, 5+ years of professional or military experience for the education qualification.
Education
Bachelor's degree, or equivalent experience through 5+ years of professional or military experience.

About the job

Leads technical architecture and delivery for large-scale AWS healthcare and life sciences transformation programs spanning AI/ML, data platforms, and enterprise modernization.

What you'll do

  • Own end-to-end architecture, technical standards, and governance across customer, AWS, and partner teams.
  • Advise senior customer executives on technology decisions and lead alignment across technical teams.
  • Establish agentic AI foundations and drive AI-native delivery methods to improve productivity and time-to-value.

What they ask for

  • Bachelor's degree, or 5+ years of professional or military experience.
  • Experience advising senior leaders on technical or architectural trade-offs, best practices, and risk mitigation.
  • 5+ years of experience in enterprise technology architecture delivery, including influencing teams and governing architecture on complex transformation programs.
  • Technical depth in AI/ML, enterprise architecture modernization, or data architecture and engineering, demonstrated through enterprise-wide transformation leadership.

Nice to have

  • AWS Professional level certification.
  • Healthcare and life sciences industry experience, including regulated AI solutions or relevant standards.

Pay

153,600.00 - 207,800.00 USD annually (base salary); 169,000.00 - 228,600.00 USD annually (base salary)

Tools

AWS, Amazon Bedrock, AgentCore, HIPAA, GxP, 21 CFR Part 11, OMOP, FHIR

AI focus

Leads AI/ML and agentic AI architecture, including governance, observability, guardrails, multi-agent orchestration, responsible AI, and AI-native delivery transformation.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 6, 2026 (UTC)